Why context engineering matters more than prompt engineering

Zapier reports that context engineering is crucial for AI effectiveness, ensuring relevant information guides responses ...
Scientific Research Publishing

Dimensionality Reduction Evaluation for Multivariate Quantum Data ()

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Real-Time Localization: Precise, Scalable Data Collection for Industrial Assets

Combining industrial grade ultra‑wideband technology and the omlox open locating standard, SICK’s Coriva real-time location ...
MIT Technology Review

The one piece of data that could actually shed light on your job and AI

“We need a Manhattan Project for this,” one economist says. This story originally appeared in The Algorithm, our weekly ...

Data visualization all-stars unveil Ridge AI with $2.6M to fix the analytics problem for SaaS apps

Data visualization veterans Ellie Fields and Jeffrey Heer are launching Ridge AI from stealth with $2.6M from Madrona and ...
TDWI

Agentic BI Is Still Not Ready for Enterprise Prime Time

Weakness at quantitative reasoning: LLMs struggle with rigorous numeric analysis compared to traditional BI tools. They often commit arithmetic errors in multi-step calculations. They may misinterpret ...
New Bern Sun Journal

5 Courses with Guided Projects That Teach Data Analysis in Excel and Tableau for Data Visualization in 2026

In 2026, data analysis roles still depend heavily on two practical tools: Excel for cleaning, checking, and working through business data, and Tableau for turning that data into dashboards people ...
Data Center Frontier

Schneider Electric Maps the AI Data Center’s Next Design Era

Schneider Electric executives Marc Garner and Jim Simonelli outlined how AI infrastructure is forcing a deeper rethink of ...
IEEE

Can LLMs Bridge Domain and Visualization? A Case Study on High-Dimension Data Visualization in Single-Cell Transcriptomics

Abstract: While many visualizations are built for domain users (e.g., biologists, machine learning developers), understanding how visualizations are used in the domain has long been a challenging task ...
IEEE

Data ID Extraction Networks for Unsupervised Class- and Classifier-Free Detection of Adversarial Examples

Abstract: Deep neural networks (DNNs) have achieved satisfactory performance in multiple fields. However, recent studies have shown that DNNs can be easily fooled by adversarial examples. To mitigate ...